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Naver Place Reviews Scraper

Extract visitor reviews and blog reviews from Naver Place — Korea's #1 local business platform. Cursor-based pagination with no server-side limit on visitor reviews.

Features

• Visitor reviews: cursor-based pagination, 50 per page, no upper limit on total reviews
• Blog reviews: offset-based pagination, ~100 items per place (server-side cap)
• TLS fingerprinting: curl_cffi with Chrome impersonation — bypasses bot detection
• Structured output: voted keywords, visit counts, owner replies, star distribution
• Two input modes: direct Place URL/ID or keyword search

What you get

Visitor review fields

Blog review fields

Aggregated statistics

When includeReviewStats is enabled (default):

• Total visitor reviews count
• Average rating
• Star rating distribution (5★, 4★, 3★, 2★, 1★)
• Scraped visitor/blog review counts

Input options

Option 1: Direct Place URLs or IDs

{
"placeUrls":[
"https://map.naver.com/v5/entry/place/37234567",
"37234567"
],
"maxReviewPages":3
}

Option 2: Search by keyword

{
"searchKeywords":["강남 맛집","Seoul BBQ"],
"maxPlacesPerKeyword":5,
"maxReviewPages":1
}

Full input example

{
"placeUrls":["37234567"],
"maxReviewPages":10,
"reviewSort":"NEWEST",
"includeBlogReviews":true,
"maxBlogReviewPages":10,
"includeReviewPhotos":false,
"includeReviewStats":true
}

Pagination guide

Output format

Visitor review

{
"reviewType":"visitor",
"placeId":"37234567",
"placeName":"맛있는 식당",
"placeCategory":"음식점",
"placeAddress":"서울특별시 강남구 ...",
"placeRating":4.52,
"placeTotalReviews":3162,
"placeUrl":"https://pcmap.place.naver.com/place/37234567",
"reviewId":"abc123",
"reviewText":"정말 맛있었어요! 분위기도 좋고 서비스도 훌륭합니다.",
"reviewRating":5,
"reviewerName":"맛집탐험가",
"reviewerProfileUrl":"https://m.place.naver.com/my/...",
"reviewerReviewCount":42,
"reviewDate":"2026-05-15",
"visitDate":"2026-05-10",
"visitCount":"2번째 방문",
"votedKeywords":["음식이 맛있어요","분위기가 좋아요"],
"reviewPhotos":null,
"reviewReplyText":"감사합니다! 또 방문해주세요.",
"reviewReplyDate":"2026-05-16",
"searchKeyword":null,
"language":"ko",
"scrapedAt":"2026-05-17T12:00:00.000Z"
}

Blog review

{
"reviewType":"blog",
"placeId":"37234567",
"placeName":"맛있는 식당",
"blogTitle":"강남 맛집 탐방기",
"blogContents":"오늘은 강남에 위치한...",
"blogUrl":"https://blog.naver.com/...",
"bloggerName":"맛집블로거",
"bloggerHome":"https://blog.naver.com/blogger123",
"blogDate":"2026-05-10",
"blogThumbnailUrl":"https://...",
"isRepresentative":false,
"scrapedAt":"2026-05-17T12:00:00.000Z"
}

Technical details

• HTTP client: curl_cffi with TLS fingerprinting (impersonate="chrome")
• Visitor review pagination: cursor-based via after parameter (not page-based)
• Blog review pagination: offset-based (page + display=10)
• Rate limiting: automatic retry with exponential backoff on HTTP 429
• Deduplication: reviewId-based dedup for visitor reviews, id-based for blog reviews

Use cases

• Korean market entry research — what do locals say about competitors?
• Restaurant/cafe competitive intelligence
• Customer sentiment analysis (NLP-ready structured data)
• Brand reputation monitoring in Korea
• Academic research on Korean consumer behavior

Korea Data Suite by huggable_quote